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 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">Theoretical economics</journal-id>
   <journal-title-group>
    <journal-title xml:lang="en">Theoretical economics</journal-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Теоретическая экономика</trans-title>
    </trans-title-group>
   </journal-title-group>
   <issn publication-format="online">2221-3260</issn>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="publisher-id">104671</article-id>
   <article-id pub-id-type="doi">10.52957/2221-3260-2025-7-179-186</article-id>
   <article-categories>
    <subj-group subj-group-type="toc-heading" xml:lang="ru">
     <subject>ТВОРЧЕСТВО МОЛОДЫХ ИССЛЕДОВАТЕЛЕЙ</subject>
    </subj-group>
    <subj-group subj-group-type="toc-heading" xml:lang="en">
     <subject>YOUNG RESEARCHERS</subject>
    </subj-group>
    <subj-group>
     <subject>ТВОРЧЕСТВО МОЛОДЫХ ИССЛЕДОВАТЕЛЕЙ</subject>
    </subj-group>
   </article-categories>
   <title-group>
    <article-title xml:lang="en">Impact of the level of government spending on social inequality and quality of life: the case of the EAEU</article-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Влияние уровня расходов государства на социальное неравенство и качество жизни населения: случай ЕАЭС</trans-title>
    </trans-title-group>
   </title-group>
   <contrib-group content-type="authors">
    <contrib contrib-type="author">
     <contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4608-2780</contrib-id>
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Маркин</surname>
       <given-names>Максим Игоревич</given-names>
      </name>
      <name xml:lang="en">
       <surname>Markin</surname>
       <given-names>Maksim Igorevich</given-names>
      </name>
     </name-alternatives>
     <email>markinmi@ystu.ru</email>
     <xref ref-type="aff" rid="aff-1"/>
    </contrib>
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Кораблева</surname>
       <given-names>Софья Артемовна</given-names>
      </name>
      <name xml:lang="en">
       <surname>Korableva</surname>
       <given-names>Sofya Artemovna</given-names>
      </name>
     </name-alternatives>
     <email>korablevasa.22@edu.ystu.ru</email>
     <xref ref-type="aff" rid="aff-1"/>
    </contrib>
   </contrib-group>
   <aff-alternatives id="aff-1">
    <aff>
     <institution xml:lang="ru">Ярославский государственный технический университет</institution>
     <city>Yaroslavl</city>
     <country>Россия</country>
    </aff>
    <aff>
     <institution xml:lang="en">Yaroslavl State Technical University</institution>
     <city>Yaroslavl</city>
     <country>Russian Federation</country>
    </aff>
   </aff-alternatives>
   <pub-date publication-format="print" date-type="pub" iso-8601-date="2025-08-01T00:00:00+03:00">
    <day>01</day>
    <month>08</month>
    <year>2025</year>
   </pub-date>
   <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-08-01T00:00:00+03:00">
    <day>01</day>
    <month>08</month>
    <year>2025</year>
   </pub-date>
   <issue>7</issue>
   <fpage>179</fpage>
   <lpage>186</lpage>
   <history>
    <date date-type="received" iso-8601-date="2025-07-08T00:00:00+03:00">
     <day>08</day>
     <month>07</month>
     <year>2025</year>
    </date>
    <date date-type="accepted" iso-8601-date="2025-07-22T00:00:00+03:00">
     <day>22</day>
     <month>07</month>
     <year>2025</year>
    </date>
   </history>
   <self-uri xlink:href="https://theoreticaleconomy.ru/en/nauka/article/104671/view">https://theoreticaleconomy.ru/en/nauka/article/104671/view</self-uri>
   <abstract xml:lang="ru">
    <p>Исследование посвящено анализу взаимосвязи между уровнем образования населения и показателями социального неравенства в странах ЕАЭС в долгосрочном интервале времени. Гипотеза исследования – между уровнем образования в обществе и социальным неравенством должна существовать обратная зависимость – доступность образования создает предпосылки для выравнивания неравенства в обществе. С помощью корреляционного анализа исследовалась взаимосвязь между тремя прокси-показателями, характеризующими уровень образования (государственные расходы на образование) и социального неравенства (индекс Джини, ИЧР). Полученные результаты не позволяют верифицировать выдвинутую в работе гипотезу: в большинстве случаев была зафиксирована положительная, а в ряде стран статистически значимая, корреляция между государственными инвестициями в образование и качеством жизни; в то же время взаимосвязь между расходами на образование и уровнем социального неравенства оказалась статистически незначимой. Полученные результаты подчеркивают, что для достижения устойчивого снижения социального неравенства одних лишь расходов на образование недостаточно.</p>
   </abstract>
   <trans-abstract xml:lang="en">
    <p>The research is devoted to analyzing the relationship between the level of education of the population and indicators of social inequality in the EAEU countries in the long-term time interval. The hypothesis of the study is that there should be an inverse relationship between the level of education in society and social inequality – the availability of education creates prerequisites for equalization of inequality in society. The correlation analysis was used to study the relationship between three proxy indicators characterizing the level of education (public expenditures on education) and social inequality (Gini index, HDI). The results obtained do not allow us to verify the hypothesis put forward in the paper: in most cases a positive, and in some countries statistically significant, correlation between public investment in education and quality of life was recorded; at the same time, the relationship between expenditures on education and the level of social inequality was statistically insignificant. The results emphasize that education spending alone is not sufficient to achieve a sustainable reduction in social inequality.</p>
   </trans-abstract>
   <kwd-group xml:lang="ru">
    <kwd>коэффициент Джини; ИЧР</kwd>
    <kwd>неравенство доходов в ЕАЭС; образование и социальное неравенство; корреляционный анализ</kwd>
   </kwd-group>
   <kwd-group xml:lang="en">
    <kwd>Gini coefficient; HDI</kwd>
    <kwd>income inequality in the EAEU; education and social inequality; correlation analysis</kwd>
   </kwd-group>
  </article-meta>
 </front>
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 <back>
  <ref-list>
   <ref id="B1">
    <label>1.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Becker G.S. Human capital: A theoretical and empirical analysis, with special reference to education. University of Chicago Press, 1964.</mixed-citation>
     <mixed-citation xml:lang="en">Becker G.S. Human capital: A theoretical and empirical analysis, with special reference to education. University of Chicago Press, 1964.</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B2">
    <label>2.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Schultz T.W. Investment in human capital. The American Economic Review, 1961, 51(1), pp. 1–17. Available at: https://www.jstor.org/stable/1818907 (accessed 1 May 2025)</mixed-citation>
     <mixed-citation xml:lang="en">Schultz T.W. Investment in human capital. The American Economic Review, 1961, 51(1), pp. 1–17. Available at: https://www.jstor.org/stable/1818907 (accessed 1 May 2025)</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B3">
    <label>3.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Bowles S., &amp; Gintis H. Schooling in capitalist America: Educational reform and the contradictions of economic life. Basic Books, 1976.</mixed-citation>
     <mixed-citation xml:lang="en">Bowles S., &amp; Gintis H. Schooling in capitalist America: Educational reform and the contradictions of economic life. Basic Books, 1976.</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B4">
    <label>4.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Duncan G.J., &amp; Murnane R.J. (Eds.) Whither opportunity? Rising inequality, schools, and children’s life chances. Russell Sage Foundation, 2011.</mixed-citation>
     <mixed-citation xml:lang="en">Duncan G.J., &amp; Murnane R.J. (Eds.) Whither opportunity? Rising inequality, schools, and children’s life chances. Russell Sage Foundation, 2011.</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B5">
    <label>5.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Autor D.H. Skills, education, and the rise of earnings inequality among the “other 99 percent”. Science, 2014, 344(6186), pp. 843–851. Available at: https://doi.org/10.1126/science.1251868 (accessed 1 May 2025)</mixed-citation>
     <mixed-citation xml:lang="en">Autor D.H. Skills, education, and the rise of earnings inequality among the “other 99 percent”. Science, 2014, 344(6186), pp. 843–851. Available at: https://doi.org/10.1126/science.1251868 (accessed 1 May 2025)</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B6">
    <label>6.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Global education monitoring report 2019: Migration, displacement and education – Building bridges, not walls. Available at: https://unesdoc.unesco.org/ark:/48223/pf0000265866 (accessed 1 May 2025)</mixed-citation>
     <mixed-citation xml:lang="en">Global education monitoring report 2019: Migration, displacement and education – Building bridges, not walls. Available at: https://unesdoc.unesco.org/ark:/48223/pf0000265866 (accessed 1 May 2025)</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B7">
    <label>7.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">The future of education and skills: Education 2030. OECD Publishing, 2018. Available at: https://www.oecd.org/education/2030/E2030%20Position%20Paper%20(05.04.2018).pdf (accessed 1 May 2025)</mixed-citation>
     <mixed-citation xml:lang="en">The future of education and skills: Education 2030. OECD Publishing, 2018. Available at: https://www.oecd.org/education/2030/E2030%20Position%20Paper%20(05.04.2018).pdf (accessed 1 May 2025)</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B8">
    <label>8.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">World development report 2021: Data for better lives. World Bank, 2021. Available at: https://openknowledge.worldbank.org/handle/10986/35218 (accessed 1 May 2025)</mixed-citation>
     <mixed-citation xml:lang="en">World development report 2021: Data for better lives. World Bank, 2021. Available at: https://openknowledge.worldbank.org/handle/10986/35218 (accessed 1 May 2025)</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B9">
    <label>9.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Blanden J., Doepke M., &amp; Stuhler J. Educational inequality. arXiv. 2022.  Available at: https://arxiv.org/abs/2204.04701 (accessed 1 May 2025)</mixed-citation>
     <mixed-citation xml:lang="en">Blanden J., Doepke M., &amp; Stuhler J. Educational inequality. arXiv. 2022.  Available at: https://arxiv.org/abs/2204.04701 (accessed 1 May 2025)</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B10">
    <label>10.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Terschuur J. Corrected estimators of educational opportunity inequality in Europe. arXiv.  2022. Available at: https://arxiv.org/abs/2212.02407 (accessed 1 May 2025)</mixed-citation>
     <mixed-citation xml:lang="en">Terschuur J. Corrected estimators of educational opportunity inequality in Europe. arXiv.  2022. Available at: https://arxiv.org/abs/2212.02407 (accessed 1 May 2025)</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B11">
    <label>11.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Wang H. The impact of social inequality on educational attainment: A sociological perspective. The Journal of International Social Research, 2024, 17(107). Available at: https://www.sosyalarastirmalar.com/articles/the-impact-of-social-inequality-on-educational-attainment-a-sociological-perspective-1102164.html (accessed 1 May 2025)</mixed-citation>
     <mixed-citation xml:lang="en">Wang H. The impact of social inequality on educational attainment: A sociological perspective. The Journal of International Social Research, 2024, 17(107). Available at: https://www.sosyalarastirmalar.com/articles/the-impact-of-social-inequality-on-educational-attainment-a-sociological-perspective-1102164.html (accessed 1 May 2025)</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B12">
    <label>12.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Corral-Granados A., Smeplass E., &amp; Ho A.D.  Challenges of persistent inequality in education. Frontiers in Education, 2024, 9, Article 1342759. Available at: https://www.frontiersin.org/articles/10.3389/feduc.2024.1342759/full (accessed 1 May 2025)</mixed-citation>
     <mixed-citation xml:lang="en">Corral-Granados A., Smeplass E., &amp; Ho A.D.  Challenges of persistent inequality in education. Frontiers in Education, 2024, 9, Article 1342759. Available at: https://www.frontiersin.org/articles/10.3389/feduc.2024.1342759/full (accessed 1 May 2025)</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B13">
    <label>13.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Chetty R., Friedman J. N., Hendren N., Stepner M. The economic impacts of COVID-19: Evidence from a new public database built using private sector data. Opportunity Insights, 2020. Available at: https://opportunityinsights.org/wp-content/uploads/2020/05/tracker_paper.pdf  (accessed 1 May 2025)</mixed-citation>
     <mixed-citation xml:lang="en">Chetty R., Friedman J. N., Hendren N., Stepner M. The economic impacts of COVID-19: Evidence from a new public database built using private sector data. Opportunity Insights, 2020. Available at: https://opportunityinsights.org/wp-content/uploads/2020/05/tracker_paper.pdf  (accessed 1 May 2025)</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B14">
    <label>14.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Heckman J.J. Skill formation and the economics of investing in disadvantaged children. Science, 2006, 312(5782), pp.1900–1902. Available at: https://doi.org/10.1126/science.1128898 (accessed 1 May 2025)</mixed-citation>
     <mixed-citation xml:lang="en">Heckman J.J. Skill formation and the economics of investing in disadvantaged children. Science, 2006, 312(5782), pp.1900–1902. Available at: https://doi.org/10.1126/science.1128898 (accessed 1 May 2025)</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B15">
    <label>15.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Piketty T. Capital in the twenty-first century. Harvard University Press, 2014.</mixed-citation>
     <mixed-citation xml:lang="en">Piketty T. Capital in the twenty-first century. Harvard University Press, 2014.</mixed-citation>
    </citation-alternatives>
   </ref>
  </ref-list>
 </back>
</article>
